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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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<div class="textblock">Here is a list of all functions with links to the classes they belong to:</div>

<h3><a id="index_g" name="index_g"></a>- g -</h3><ul>
<li>gamma()&#160;:&#160;<a class="el" href="classshark_1_1_gaussian_rbf_kernel.html#aed0a3d8520b5c08499be99e860f2b2c8">shark::GaussianRbfKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_task_kernel.html#a72c07dd2a07d2b10033b758f43ba0fb2">shark::GaussianTaskKernel&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_jaakkola_heuristic.html#ae5e25ff2cd4a047ff31900f1f1aa3b55">shark::JaakkolaHeuristic</a>, <a class="el" href="classshark_1_1_r_b_f_layer.html#ae5709681c4970ec1eecfc091ef67a17c">shark::RBFLayer</a></li>
<li>gammaVector()&#160;:&#160;<a class="el" href="classshark_1_1_a_r_d_kernel_unconstrained.html#a6bd49c194259cde41c6dd10a0ed40116">shark::ARDKernelUnconstrained&lt; InputType &gt;</a></li>
<li>GaussianKernelMatrix()&#160;:&#160;<a class="el" href="classshark_1_1_gaussian_kernel_matrix.html#a767b86dbac41de377ba0a53a16706dbe">shark::GaussianKernelMatrix&lt; T, CacheType &gt;</a></li>
<li>GaussianRbfKernel()&#160;:&#160;<a class="el" href="classshark_1_1_gaussian_rbf_kernel.html#a9c88ec01375ff1ffbf6b55d812c82107">shark::GaussianRbfKernel&lt; InputType &gt;</a></li>
<li>GaussianTaskKernel()&#160;:&#160;<a class="el" href="classshark_1_1_gaussian_task_kernel.html#ad3cb825170b89942732ef99333e90ed3">shark::GaussianTaskKernel&lt; InputTypeT &gt;</a></li>
<li>GeneralizationLoss()&#160;:&#160;<a class="el" href="classshark_1_1_generalization_loss.html#a9e9301fda04d339f9ec398f1a10deff1">shark::GeneralizationLoss&lt; PointType &gt;</a></li>
<li>GeneralizationQuotient()&#160;:&#160;<a class="el" href="classshark_1_1_generalization_quotient.html#ae63e3297585fd87b441daa3efcfa9099">shark::GeneralizationQuotient&lt; PointType &gt;</a></li>
<li>GeneralQuadraticProblem()&#160;:&#160;<a class="el" href="classshark_1_1_general_quadratic_problem.html#a5fac3481c122b828c0fbdc1f0dd7ad58">shark::GeneralQuadraticProblem&lt; MatrixT &gt;</a></li>
<li>generate()&#160;:&#160;<a class="el" href="classshark_1_1_multi_variate_normal_distribution_cholesky.html#a8653eefd19a56f858fd24c3d2b948284">shark::MultiVariateNormalDistributionCholesky</a></li>
<li>generateDataset()&#160;:&#160;<a class="el" href="classshark_1_1_data_distribution.html#a457baebeeff07baba0785aec80e7d188">shark::DataDistribution&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_labeled_data_distribution.html#ace15c1b51c87cd4b553427a55416b155">shark::LabeledDataDistribution&lt; InputType, LabelType &gt;</a></li>
<li>generateOffspring()&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a.html#a6013d0aa09665a3ed034ddc06be7f6cf">shark::CMA</a>, <a class="el" href="classshark_1_1_c_m_s_a.html#a4a3fd20d9e65daf33018c06fede66540">shark::CMSA</a>, <a class="el" href="classshark_1_1_indicator_based_m_o_c_m_a.html#a47a411e7c2204be13f8e0956cf383434">shark::IndicatorBasedMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_real_coded_n_s_g_a_i_i.html#abe6c932d3babb909cad7de1cc3a1a7e4">shark::IndicatorBasedRealCodedNSGAII&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_steady_state_m_o_c_m_a.html#a7ea5378ceb241323bda7edb755c7ab10">shark::IndicatorBasedSteadyStateMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_m_o_e_a_d.html#aa78fc336dfe961a9bff5c72715f0a49d">shark::MOEAD</a>, <a class="el" href="classshark_1_1_r_v_e_a.html#a31e0f61704214e7183f04d824b21ddf1">shark::RVEA</a>, <a class="el" href="classshark_1_1_s_m_s_e_m_o_a.html#a1cd1cd9d45bcc0e48819dd712c7adae8">shark::SMSEMOA</a></li>
<li>generateRandomPoint()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_constraint_handler.html#ae6d491f9552b1a1ce440e8c675db929b">shark::AbstractConstraintHandler&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_box_constraint_handler.html#a7c5a1e0e7f1041abd44844d3e2083c12">shark::BoxConstraintHandler&lt; Vector &gt;</a></li>
<li>get()&#160;:&#160;<a class="el" href="structshark_1_1_batch_3_01shark_1_1blas_1_1compressed__vector_3_01_t_01_4_01_4.html#a2c3920e1aeac4e38b148f8b9d4aaea3c">shark::Batch&lt; shark::blas::compressed_vector&lt; T &gt; &gt;</a>, <a class="el" href="classshark_1_1benchmarks_1_1_multi_objective_benchmark.html#a12b46f3164e3445aff1cd12b62b2c2cf">shark::benchmarks::MultiObjectiveBenchmark&lt; Objectives &gt;</a></li>
<li>get_dalphab_dtheta()&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_derivative.html#aad1d2282bcb2519f7ff7f31e1a1dc7c2">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a></li>
<li>get_db_dParams()&#160;:&#160;<a class="el" href="classshark_1_1_c_svm_trainer.html#aa41c04a121457ef9ace253feac0bf42d">shark::CSvmTrainer&lt; InputType, CacheType &gt;</a></li>
<li>getAccessCount()&#160;:&#160;<a class="el" href="classshark_1_1_example_modified_kernel_matrix.html#a72f151212af0f6c0ad5acbc2ee69d43d">shark::ExampleModifiedKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_kernel_matrix.html#af1b1c4a3db861ee77657d07f3c8f048d">shark::GaussianKernelMatrix&lt; T, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_matrix.html#a834648ff97fe9d3269a8a821299026ee">shark::KernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_modified_kernel_matrix.html#abaf647324d99f1b8f365cdf1ffd111dd">shark::ModifiedKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_regularized_kernel_matrix.html#ae18e8a97284551effcabcbf2a4bac945">shark::RegularizedKernelMatrix&lt; InputType, CacheType &gt;</a></li>
<li>getArrayIndexForTiling()&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a_c_map.html#a0f4d676381fa8c601e3a7e18c67420e9">shark::CMACMap</a></li>
<li>getCacheLine()&#160;:&#160;<a class="el" href="classshark_1_1_l_r_u_cache.html#a1d1d221a9216657a86b799233d80c1af">shark::LRUCache&lt; T &gt;</a></li>
<li>getCacheRowSize()&#160;:&#160;<a class="el" href="classshark_1_1_cached_matrix.html#a752febb4f36dd418bce1e8eeefbc549a">shark::CachedMatrix&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_partly_precomputed_matrix.html#a9eb387c2805fafb33a441aced6d58d8c">shark::PartlyPrecomputedMatrix&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_precomputed_matrix.html#aeac6f451c9fc15fb9c0d0b448af95816">shark::PrecomputedMatrix&lt; Matrix &gt;</a></li>
<li>getCacheSize()&#160;:&#160;<a class="el" href="classshark_1_1_cached_matrix.html#a53c29c87d1c481a928abf63171d45fbd">shark::CachedMatrix&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_precomputed_matrix.html#ae8113f8b0c9f0ddf618a50da2d692c55">shark::PrecomputedMatrix&lt; Matrix &gt;</a></li>
<li>getConstraintHandler()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_objective_function.html#a714edd6cc680adf04d5d12d7e845544f">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a></li>
<li>getDistanceWeightType()&#160;:&#160;<a class="el" href="classshark_1_1_nearest_neighbor_model.html#a5b44f65297677be8a13fd333266ddc74">shark::NearestNeighborModel&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#aaf02ef2fa75c45940c211f64c9d4e170">shark::NearestNeighborModel&lt; InputType, unsigned int &gt;</a></li>
<li>getDownDifferences()&#160;:&#160;<a class="el" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a7efbbd03042d38540e84c5cfdbfaf283">shark::EnergyStoringTemperedMarkovChain&lt; Operator &gt;</a></li>
<li>getIndizes()&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a_c_map.html#a95d4ca42a05943cdea9195f6f99851e5">shark::CMACMap</a></li>
<li>getJiggle()&#160;:&#160;<a class="el" href="classshark_1_1_double_pole.html#a47aae9cea93635b74c06f27427258a1a">shark::DoublePole</a></li>
<li>getLabel()&#160;:&#160;<a class="el" href="classshark_1_1_c_a_r_tree.html#acbe95f0748a72c0e0ea58b682aaf79ce">shark::CARTree&lt; LabelType &gt;</a></li>
<li>getLabelOrder()&#160;:&#160;<a class="el" href="classshark_1_1_label_order.html#a24ebab5ae45adf6079880cac185b1784">shark::LabelOrder</a></li>
<li>getLinePointer()&#160;:&#160;<a class="el" href="classshark_1_1_l_r_u_cache.html#a2848536687dec954b5ec1cea247866eb">shark::LRUCache&lt; T &gt;</a></li>
<li>getLogPartition()&#160;:&#160;<a class="el" href="classshark_1_1_exact_gradient.html#aebc03b4ccfbb70f873c3a932cebe9ddd">shark::ExactGradient&lt; RBMType &gt;</a></li>
<li>getMaxCacheSize()&#160;:&#160;<a class="el" href="classshark_1_1_cached_matrix.html#a4e3b71aa789c0cb4036f4bbf76313f9a">shark::CachedMatrix&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_partly_precomputed_matrix.html#a71a5881acfb1700c75ea8af7dba9faae">shark::PartlyPrecomputedMatrix&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_precomputed_matrix.html#a3e36ccd9be149aac6003fa1e92afb7db">shark::PrecomputedMatrix&lt; Matrix &gt;</a></li>
<li>getMeasure()&#160;:&#160;<a class="el" href="structshark_1_1_hypervolume_calculator_m_d_h_o_y.html#a5d79a14bb35f0179b2f32b08170570cb">shark::HypervolumeCalculatorMDHOY</a></li>
<li>getMedian()&#160;:&#160;<a class="el" href="structshark_1_1_hypervolume_calculator_m_d_h_o_y.html#a40450b052b12c2c9e63622776e545b3d">shark::HypervolumeCalculatorMDHOY</a></li>
<li>getNeighbors()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_nearest_neighbors.html#a72a116504675a53f288533bfeff3a96d">shark::AbstractNearestNeighbors&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_simple_nearest_neighbors.html#a389a29728ce4a6d7e50e2b94d449eb87">shark::SimpleNearestNeighbors&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_tree_nearest_neighbors.html#a93240024a5a340943a32c46c88347648">shark::TreeNearestNeighbors&lt; InputType, LabelType &gt;</a></li>
<li>getNode()&#160;:&#160;<a class="el" href="classshark_1_1_c_a_r_tree.html#a05fce970ee23389c182a466aa287d207">shark::CARTree&lt; LabelType &gt;</a></li>
<li>getNoiseType()&#160;:&#160;<a class="el" href="classshark_1_1_cross_entropy_method.html#ae14731ef40261034c8d830e07ec2fbac">shark::CrossEntropyMethod</a></li>
<li>getNumExamples()&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#aa02d1a80c2f8d85ebb392bd88bddf7e2">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a2a6a69df2e864c4437c99c4b99718f69">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>getPartitioning()&#160;:&#160;<a class="el" href="group__shark__globals.html#ga2ee51d83d9a5db03a3a9a1b0607ae696">shark::Data&lt; Type &gt;</a>, <a class="el" href="group__shark__globals.html#ga2ef8f53cd23e5eb804b9f9dda6b25c31">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>getSimplexMVP()&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#abed9aa58f4c24140ba445737987a6f98">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>getState()&#160;:&#160;<a class="el" href="classshark_1_1_double_pole.html#a70cf32c8d658c4b6d55fc229c2e9226e">shark::DoublePole</a>, <a class="el" href="classshark_1_1_single_pole.html#a84352b3865ca9ee359f2a2c2422d58d1">shark::SinglePole</a></li>
<li>getUnpermutedAlpha()&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#ad42a5a9b13d427f07fe532c2a02f88fc">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_svm_problem.html#acb8152953435a41f851793490341d4c3">shark::SvmProblem&lt; Problem &gt;</a></li>
<li>getUpDifferences()&#160;:&#160;<a class="el" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a98bb5d7502c757a432822bc43e57dee8">shark::EnergyStoringTemperedMarkovChain&lt; Operator &gt;</a></li>
<li>GibbsOperator()&#160;:&#160;<a class="el" href="classshark_1_1_gibbs_operator.html#a0ec0371d4776aba60fc305b8f10c53fb">shark::GibbsOperator&lt; RBMType &gt;</a></li>
<li>gradient()&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_svm_problem.html#ae638f4ac4dba40b797e5f6cfd2244c77">shark::SvmProblem&lt; Problem &gt;</a></li>
<li>gradientUpdate()&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_box_decomp.html#ade403dcbf202a00f57c0c5f1cdbdf6d1">shark::QpMcBoxDecomp&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_qp_mc_simplex_decomp.html#a2407864545443c298157fb489c3038f3">shark::QpMcSimplexDecomp&lt; Matrix &gt;</a></li>
<li>GridSearch()&#160;:&#160;<a class="el" href="classshark_1_1_grid_search.html#a165ed5b1d76b1946e377b454f1cf8477">shark::GridSearch</a></li>
<li>GSP()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_g_s_p.html#a25d575e35c0d221330e5960fd5b0e101">shark::benchmarks::GSP</a></li>
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